Submissions for NA Digest:

We are excited to announce that edX has opened registration for
"LAFF-On Programming for High Performance" [1]. This free-to-audit,
four-week, self-paced course developed by UT-Austin faculty Robert van
de Geijn, Maggie Myers, and Devangi Parikh starts on June 4, 2019.

The course uses the simple but important example of matrix-matrix
multiplication to illustrate fundamental techniques for attaining
high-performance on modern CPUs. A carefully designed sequence of
exercises leads the learner from a naive implementation to one that
effectively utilizes instruction level parallelism and culminates in a
high-performance, multithreaded implementation. Along the way, it is
discovered that careful attention to data movement is key to efficient
computing. In other words, learners are exposed to techniques for
attaining high performance through carefully scaffolded exercises that
illustrate how the BLAS-like Library Instantiation Software (BLIS) [2]
implements dgemm, which is itself based on Goto's algorithm [3].

We believe this course is appropriate for a novice yet of interest to
an expert. It may be, for example, a great way to get a summer intern
quite literally up to speed. Others may want to use it as a component
in a class they teach. Some learners may merely come to the
conclusion that they should be using high-performance libraries.
Others may find they enjoy low level optimization.

This textbook explains the structure of deep learning, which
constructs a function F(v) that correctly classifies the samples v in
the training set. F is created from a chain of much simpler functions
f(v) = max (Av + b, 0). The matrices A and the vectors b are the
"weights" to be optimized. For applications to images, A is often a
well localized convolution matrix.

The heart of the book develops -- as clearly as we can -- the linear
algebra and optimization methods and probability/statistics that go
into the success of the learning function F.

The 2019 Gene Golub Memorial Workshop was held at Lanzhou University,
Lanzhou, China, on April 19-23, 2019. This annual international
workshop on matrix computations is dedicated to celebrating the life
of the late Professor Gene Golub (February 29, 1932 - November 16,
2007) of Stanford University, USA. Gene was one of the very few
preeminent scientists/engineers who was elected to both the USA
National Academy of Sciences and the USA National Academy of
Engineering. At the workshop, we reminisced about another side of
Gene, the generous senior educator who always went out of his way to
advise and help the next generation. About 60 people attended the
workshop. They included senior researchers, young scholars, and
graduate students. There were 13 invited speakers: Michele Benzi from
Italy, Walter Gander and Martin H. Gutknecht from Switzerland, Wai-Ki
Ching, Franklin T. Luk, and Tie-Yong Zeng from Hong Kong, and
Zhong-Zhi Bai, Dan-Fu Han, Yu-Mei Huang, Zeng-Qi Wang, Rui-Ping Wen,
You-Wei Wen, and Yu-Jiang Wu from the mainland of China. To follow in
Gene's footsteps to encourage young researchers, the workshop
initiated two Best Presentation awards. Professors Zhong-Zhi Bai,
Michele Benzi, Walter Gander, Martin H. Gutknecht, and Franklin T. Luk
constituted the Prize Committee. They chose Zeng-Qi Wang of Shanghai
Jiao Tong University for the best oral presentation, and Jun-Feng Yin
of Tongji University, Shanghai, for the best poster presentation.
Each winner received a plaque, a certificate, and a small gift.

The two organizers, Zhong-Zhi Bai and Yu-Mei Huang, did an excellent
job and provided a nurturing environment for academic exchanges
between the presenters and the students. The workshop received
generous funding support from Lanzhou University and the Tianyuan
Mathematical Center in Northwest China. This is the second time the
Golub Memorial Workshop was held in the mainland of China. The first
time was April 20-24, 2018, at the Hangzhou Normal University,
Hangzhou. Previously, the Workshop was held for ten years from 2008
to 2017 at the Hong Kong Baptist University in Hong Kong.

We are proud to show by example that Gene was wrong in his private
remark to one of us, "No one will remember me five years after I pass
away."

The 5th Basilisk/Gerris Users' Meeting will be held in Paris from the
17th to 19th June 2019.

The meeting is dedicated to the presentation of scientific results
obtained using the Basilisk and Gerris free softwares in a broad range
of fields including fluid mechanics, engineering, environmental
science etc. Have a look at the web page of the previous meeting
(http://basilisk.fr/BGUM2017) for examples of presentations.

NUMTA2019 - the 3rd International Conference and Summer School
"Numerical Computations: Theory and Algorithms" will be held in Italy
in the All Inclusive "TH Le Castella Village" resort close to Crotone
- the city of Pythagoras, from 15th to 21st June 2019.

Numerical analysis, continuous optimization, and emerging computations
are among the main topics of the Conference (seehttps://easychair.org/cfp/numta2019 for the NUMTA2019 Call-for-Papers).

The Springer Young Researcher Prize for the best NUMTA2019
presentation made by a young scientist will be awarded (applications
can be sent by May 15, 2019).

Proceedings will be published as a special volume of the
world-renowned Springer "Lecture Notes in Computer Science" and will
contain regularly peer-reviewed short and full papers (to be submitted
by May 30, 2019). One-page abstracts of presentations at NUMTA2019
will be published as online Book of abstracts with its own ISBN (to be
submitted by May 15, 2019:http://si.dimes.unical.it/~yaro/numta2019/abssubmit.php).

Submissions (talks & MS) deadline: May 15, 2019

Registrations are now open, early bird deadline: June 30, 2019

The 19th French-German-Swiss conference on Optimization will take
place in Nice from September 17 to 20, 2019. This series of
conferences began in 1980 at Oberwolfach and has gathered since French
and German colleagues in optimization every other year. It is
customary to invite a third country to participate.

In 2019, the invited country is Switzerland.

Theses conferences usually gather from 100 to 150 mathematicians and
are the main meeting of European researchers in optimization in the
broad sense. The 2019 edition is organized by LJAD and I3S labs from
CNRS, and by Inria Sophia Antipolis Mediterranee center. The
conference will be located on the Valrose campus of Universite Cote
d'Azur, on the heights of Nice.

A limited number of grants has been planned to cover the registration
fees for students (undergraduate, graduate or postdoc). Students
wanting to apply for these grants shall
- send an email to fgs-2019@sciencesconf.org including a cv and asking
for a grant
- submit a talk (contributed or within a mini-symposium)

Through a community initiative supported by the Institute of
Mathematics and its Applications, the Isaac Newton Institute for
Mathematical Sciences and the Heads of Departments of Mathematics
Sciences (HoDoMS) and endorsed by the Royal Statistical Society, the
Operational Research Society and the London Mathematical Society, we
are delighted to announce that in September 2019 the two-day Induction
Course for lecturers new to teaching mathematics and statistics within
Higher Education will once again take place. The Induction Course for
New Lecturers in the Mathematical Sciences has been designed by the
mathematics community so that it is ideally suited for anyone who is
new to or has limited experience teaching mathematics or statistics
within UK higher education. It will be delivered by individuals with
significant experience of teaching in the mathematical sciences and
will focus upon the specific details and issues that arise in
mathematics and statistics teaching and learning within higher
education including topics such as: Lecturing; Supporting student
learning; Making teaching interactive; Assessment, examinations and
feedback; Linking teaching & research; Using technology to enhance
teaching and learning; Using examples and mathematical problem solving.

Additionally there will be significant opportunities for delegates to
discuss their own ideas, challenges and experiences with the session
facilitators so that individual queries can be answered. In the past,
attendance has been recognised as contributing towards some
introductory institutional programmes in learning and teaching for new
staff, and for the 2019 Induction Course accreditation will be
provided through the Institute of Mathematics and its Applications
relative to the UK Professional Standards Framework for Teaching and
Supporting Learning in Higher Education.

The 7th Conference MODELLING 2019 on Mathematical Modelling and
Computational Methods will be held in Olomouc, Czech Republic,
September 16-20, 2019. For the details, seehttp://www.ugn.cas.cz/link/modelling19

New deadlines: May 31, 2019 for Abstract submission (can be even later
after an agreement with conference and minisymposia organizers). Early
registration and payment Jun 15, 2019.

School on Mathematical and Computational Aspects of Machine Learning
(Pisa, 7-11 October 2019)

The School will take place at the Ennio De Giorgi Mathematical
Research Center ofthe Scuola Normale Superiore in Pisa, Italy, on
October 7-11, 2019. The lectures will give a broad overview of the
rapidly evolving field of Machine Learning from a mathematical,
statistical, and computational perspective. The school is aimed
primarily at PhD students, post-docs and young researchers.

Participation is free but limited to a maximum of 90 participants.
There will be the possibility for a small number (10-12) of
participants to give a short communication on their own work in the
field of ML.

Deadlines:
Submission of abstracts: July 31, 2019 [decision by August 15]
Application to participate: August 31, 2019 [decision by September 15]

We are pleased to announce that the Chinese University of Hong Kong
(CUHK) will be hosting the 26th International Conference on Domain
Decomposition Methods (DD26) in Hong Kong, China from December 2 to 6,
2019. The purpose of the conference is to bring together
mathematicians, computational scientists and engineers who work in the
main themes of Domain Decomposition, including theoretical,
algorithmic and implementation aspects of domain decomposition
methods, solvers for multiphysics problems, parallel-in-time methods,
multigrid and multilevel methods, fast solvers and preconditioning,
and applications of such methods in physics and engineering.

Registration will open shortly. In the meantime, we would like to
extend our invitation for your participation and contributions. We are
now ready to receive proposals for minisymposia that fit the themes of
Domain Decomposition. Please provide a title, a short description of
the subject matter, and a list of speakers for the
minisymposium. Minisymposia may span one or more sessions, with each
session consisting of four 25-minute talks, with an additional 5
minutes after each talk for questions. Please submit your proposals as
a plain text e-mail to dd26@math.cuhk.edu.hk before June 15, 2019.

HPC Asia: International Conference on High Performance Computing in
Asia-Pacific Region, January 15-17, 2020, Fukuoka, Japan

High performance computing is a key technology to solve large problems
in science, engineering, and business by utilizing computing power
which has been evolving to the future. HPC Asia, which is an
international conference series on HPC technologies in Asia Pacific
region, and was held in the past several times in several countries in
Asia regional site to discuss the issues on high performance computing
and to exchange information of research and development results.
Following the success in 2018 and 2019, the International Conference
on High Performance Computing in Asia-Pacific Region, or HPC Asia 2020
is organized in order to exchange ideas, case studies, and research
results related to all issues of high performance computing.

The IBM ESSL team is in search of a Software Engineer to be part of an
exciting opportunity to work on mathematical software for the next
generation of supercomputers.The primary jobis to design, develop and
validate high performing hybrid (CPU & GPU) scalable mathematical
software. Additionally you may have the opportunity to expand your
knowledge by working directly with other IBM teams, partners and
customers to collaborate on designs and to solve system level problems
related to compilers, GPU programming, Linux kernels and other
software technologies. Qualified candidates will be expected to
develop new subroutines and tune existing subroutines for new systems,
processors, and GPUs as well as assist with other activities related
to product delivery (e.g. build, test, packaging, support).

If you are interested in this opportunity, please visithttp://ibm.biz/227990BR for a more detailed description and submit you
application.

The salary is about 330,000 RMB (49,000 US dollars) per year, of which
180,000 RMB per year is after-tax. Those who are interested please
send their C.V. to Prof. Dr. Jian Lu, e-mail: jianlu@szu.edu.cn;
jianlu1979@163.com

The Technical University of Denmark opens a 3-year PhD position and a
2-year postdoc position, both starting Sept. 1, 2019 (or as soon as
possible after that). The positions are part of the research project
CUQI, Computational Uncertainty Quantification for Inverse Problems.
For details see: https://www.compute.dtu.dk/english/cuqi

The project's goal is to create a computational platform, suited for
non-experts in academia and industry. A core problem is to formulate
appropriate models of the priors for the desired solution and the
reconstruction model, and to use these priors in large-scale numerical
computations. E.g., we must handle solution priors for edges in an
image, and we must incorporate hyperpriors in a reconstruction model
to handle uncertain aspects of the physics and the acquisition model.

The PhD project focuses on either one or both aspects of UQ, and it
involves development of theory as well as computational algorithms,
plus evaluation of the results on selected inverse problems. The
applicant must have experience with mathematical modeling and
analysis, as well as computational algorithms. For more details and
to apply: https://tiny.cc/CUQI-PhD-1

The postdoc will be responsible for developing UQ models and methods
that can handle a broad class of non-Gaussian and systematic errors in
inverse problems, and for implementing and testing these methods by
efficient and stable numerical algorithms. The aim is to develop a
systematic and user-friendly approach - possibly using suitable
approximations. The end result is a first attempt at producing an
abstraction level that lets users focus on modeling and data analysis
instead of mathematical details and low-level algorithm aspects. For
more details and to apply: https://tiny.cc/CUQI-Postdoc-1

The development of efficient numerical methods for highly
oscillatory differential equations (e.g. Schroedinger equation in the
classical limit) should be continued. On top of the employment at TU
Vienna, an association with the ongoing doctoral school "Dissipation
and dispersion in nonlinear partial differential equations" is
offered, for details see: http://asc.tuwien.ac.at/~npde/